mda: Mixture and Flexible Discriminant Analysis (original) (raw)
Mixture and flexible discriminant analysis, multivariate adaptive regression splines (MARS), BRUTO, and vector-response smoothing splines. Hastie, Tibshirani and Friedman (2009) "Elements of Statistical Learning (second edition, chap 12)" Springer, New York.
| Version: | 0.5-5 |
|---|---|
| Depends: | R (≥ 3.5.0), stats, class |
| Suggests: | earth, testthat |
| Published: | 2024-11-07 |
| DOI: | 10.32614/CRAN.package.mda |
| Author: | Trevor Hastie [aut, cre] (Original co-author of the S package `mda`), Robert Tibshirani [aut] (Original co-author of the S package `mda`), Balasubramanian Narasimhan [ctb] (Contributed to the upgrading of code), Friedrich Leisch [ctb] (Original R port from the S package), Kurt Hornik [ctb] (Original R port from the S package), Brian Ripley [ctb] (Original R port from the S package) |
| Maintainer: | Trevor Hastie |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| Materials: | README |
| In views: | Environmetrics |
| CRAN checks: | mda results |
Documentation:
Downloads:
Reverse dependencies:
| Reverse imports: | bujar, Compositional, gamsel, MAVE, pheble, RclusTool, rminer, sparseLDA, xLLiM, zooimage |
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| Reverse suggests: | BiodiversityR, biomod2, butcher, caret, DiceEval, discrim, earth, fdm2id, flacco, flowml, FRESA.CAD, fscaret, HandTill2001, live, MachineShop, mlr, nestedcv, pdp, subsemble, tidyAML |
| Reverse enhances: | prediction |
Linking:
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